Supratik Paul

5 papers · 2019–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🏆 Keyword Champion (2)

Venues

CoRL (2) ICML (1) JMLR (1) NeurIPS (1)

Top co-authors

Shimon Whiteson (5) Michael A. Osborne (2) Payam Nikdel (2) Aman Sinha (2) Konstantinos Chatzilygeroudis (1) Matthew O’Kelly (1) Eli Bronstein (1) Kamil Ciosek (1) Sirish Srinivasan (1) Jean-Baptiste Mouret (1)

Research topics

Artificial Intelligence (3) Reinforcement Learning (3) Methods (3) Machine Learning (2) Core AI (2) Optimization & Theory (2) Computer Vision (1) Robotics (1) Applications (1) Bayesian & Probabilistic (1) Capabilities (1) Domain-Specific (1) Learning Paradigms (1) Learning Types (1)

Keywords

bayesian optimization (2) policy gradient (2) robust policy (2) rare event (2) environment variable (2) curriculum learning (1) autonomous driving (1) rate estimation (1) continuous control (1) off-policy learning (1) hyperparameter tuning (1) bayesian quadrature (1) autonomous vehicle (1) zero-shot transfer (1) gradient-free optimization (1) adverse event (1) hyperparameter schedule (1) bayesian adaptive multifidelity sampling (1) efficient discovery (1) motion planning (1)

Papers

Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling CoRL 2024 Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula CoRL 2022 Robust Reinforcement Learning with Bayesian Optimisation and Quadrature JMLR 2020 Fast Efficient Hyperparameter Tuning for Policy Gradient Methods NeurIPS 2019 Fingerprint Policy Optimisation for Robust Reinforcement Learning ICML 2019